Mariam Safar

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Wearable technology is an emerging computing paradigm with a broad range of attractive applications. However, wearable devices have limited compute capability, storage and battery lifetime, which hinder their use for compute-intensive applications. In this paper, we propose a lightweight computation offloading technique in which some of the workload is(More)
We have formulated the data collection process within wireless sensor networks as a scheduling problem to alleviate workload on the data collection centers. A sensor device has three tasks, which are mainly sensing data, processing and transmitting the collected data. We modeled the sensorpsilas three tasks as a task-flow graph (TFG), and then we combined(More)
This work explores the automatic placement of actors within wireless sensor-actor network through an evolutionary approach. A wireless sensor network (WSN) consists of two sets of nodes: sensors and actors, where the set of sensors performs all the sensing (data collection) from their surrounding environment. Since sensors operate by batteries, then they(More)
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